From: Spread AI across everything and hope something sticks
To: Point AI at the one function where ROI is already measurable

Theme for the Quarter: Operational Leverage With AI
Theme for the Week: Customer Support Automation

✨ In Today's Episode:

Most AI bets can't be measured. Support can. That's the tell.

Stop spreading AI across everything.

Point it at the one function with a built-in scoreboard.

Customer support.

Every resolved ticket is a measurable win.

You can put it on a dashboard by tomorrow morning.

That's where your AI ROI has been hiding all along.

There's a number in the latest Atlassian data that should keep you up at night.

85 percent of knowledge workers are already using AI at work. But only 6 percent of executives can point to where it actually paid off.

That's a 79-point gap. Activity on one side. Tangible return on the other. And a canyon in between.

Business Insider put it even more bluntly. Executives are staring at their AI spend and asking one cold question: "Where's the revenue?"

I felt this myself last year. I had custom GPTs, automations, half a dozen workflows. Real time, real money. And when my accountant asked what it returned, I had a great speech and zero numbers.

The problem wasn't that AI didn't work. The problem was I'd deployed it everywhere fuzzy and nowhere measurable.

Support fixes that. It's the one place where "did this work?" has a yes-or-no answer attached to a dollar sign.

Here's the move. Don't make AI do everything. Make it do the one repetitive, high-volume, low-judgment task first. Then prove it.

Step 1: Pull your scoreboard before you build anything.

Support is the rare AI bet that ships with metrics already attached:

Write down today's numbers. This is your baseline. No baseline, no ROI story.

Step 2: Mine your ticket history.

This is the part most operators skip. Your old tickets are unsexy gold.

Every resolved ticket is a labeled example of a good answer in your exact context. That's not just history. That's eval data, the missing moat in AI. It's the SOP library you already paid to create, sitting in a help desk doing nothing.

Export your last 200 resolved tickets. That's your training set and your test set.

Step 3: Point AI at the top 20 percent.

Roughly a fifth of your tickets are the same five questions over and over. Build your AI responder to handle only those first. Resist the urge to boil the ocean.

Step 4: Test against your eval data, not your gut.

Run the AI on those 200 past tickets. Compare its answers to what your team actually sent. Score it. That's your accuracy number, and it's defensible.

Step 5: Deploy on the easy 20 percent. Re-pull the scoreboard in 14 days.

Now you have a before and after. Deflection rate up. Cost per resolution down. A real number, not a speech.

Most experts don’t have a lead problem. They have an attention-to-sales problem. This free video shows how to stop chasing clients through content, DMs, and endless discovery calls, and start building a simple client asset that helps generate demand more predictably.

Here's why this matters far beyond your help desk.

The AI ROI logjam isn't a technology problem. It's a measurement problem. Operators are losing money on "AI everywhere" because everywhere is unmeasurable. You can't prove a vibe.

But 74 percent of companies using AI are already seeing a return, and the earliest movers report that number at 88 percent. The winners aren't using better models. They're pointing AI at functions where the scoreboard already exists.

This is the whole game in Q2. Operational leverage with AI doesn't come from doing more impressive things. It comes from doing measurable things first, banking the proof, then expanding from a position of evidence.

The strategic operator picks the function where output is undeniable, then uses that win to fund the fuzzier bets later.

Support is your beachhead. Not because it's exciting. Because it's provable.

And here's the quiet kicker: while everyone races to rent the next model, your ticket history is an owned asset. Your eval data is the one edge OpenAI, Anthropic, and Gemini can't sell anyone else. You already own it. Most operators are sitting on it without knowing it's worth anything.

That's the difference between consuming AI and compounding it.

The 79-point gap between AI usage and AI ROI isn't closed by using more AI. It's closed by deploying it where the win is measurable.

Support is that place. It's the function with a built-in scoreboard, a pile of eval data you already paid for, and a yes-or-no answer to "did this work?"

Stop trying to prove AI everywhere. Prove it once, somewhere it can't hide. Then expand.

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